SOTAVerified

Person Re-Identification

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

Papers

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Showing 951–975 of 1488 papers

TitleStatusHype
An Improved Deep Learning Architecture for Person Re-Identification—0
An Introduction to Person Re-identification with Generative Adversarial Networks—0
ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification—0
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection—0
A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification—0
A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification—0
A Novel Teacher-Student Learning Framework For Occluded Person Re-Identification—0
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification—0
A Novel Visual Word Co-occurrence Model for Person Re-identification—0
Anti-Forgetting Adaptation for Unsupervised Person Re-identification—0
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification—0
A Person Re-Identification System For Mobile Devices—0
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification—0
Appearance Descriptors for Person Re-identification: a Comprehensive Review—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems—0
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification—0
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification—0
A Siamese Long Short-Term Memory Architecture for Human Re-Identification—0
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification—0
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification—0
A Spectral Nonlocal Block for Neural Networks—0
Exploiting Prunability for Person Re-Identification—0
A Survey on 3D Skeleton Based Person Re-Identification: Approaches, Designs, Challenges, and Future Directions—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
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All datasetsMarket-1501DukeMTMC-reIDMSMT17Occluded-DukeMTMCMarket-1501-CCUHK03 detectedCUHK03 labeledMARSCUHK03LTCCPRCCPRID2011

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1st-ReID(RE, RK)Rank-198—Unverified
2SSKD(GH)Rank-197.36—Unverified
3CLIP-ReID+Pose2ID (no RK)Rank-197.3—Unverified
4SOLIDER +UFFM+AMCRank-197—Unverified
5Unsupervised Pre-training (ResNet101+MGN)Rank-197—Unverified
6RGT&RGPR (RK)Rank-196.9—Unverified
7SOLIDERRank-196.9—Unverified
8LightMBN (RR)Rank-196.8—Unverified
9Viewpoint-Aware Loss(RK)Rank-196.79—Unverified
10SOLIDER (RK)Rank-196.7—Unverified
#ModelMetricClaimedVerifiedStatus
1DenseILmAP97.1—Unverified
2CTL Model (ResNet50, 256x128)mAP96.1—Unverified
3BPBreID (RK)mAP92.9—Unverified
4Unsupervised Pre-training (ResNet101+RK)mAP92.77—Unverified
5st-ReID(RE, RK,Cam)mAP92.7—Unverified
6RGT&RGPR (RK)mAP92.7—Unverified
7Viewpoint-Aware Loss(RK)mAP91.8—Unverified
8LDS (ResNet50 + RK)mAP91—Unverified
9Adaptive L2 Regularization (with re-ranking)mAP90.7—Unverified
10FlipReID (with re-ranking)mAP90.7—Unverified